Youngjoon Jeong

I am a Ph.D. student in the Graduate School of Data Science at Seoul National University, advised by Taesup Kim. I received my B.S. and M.S. in Rural Systems Engineering (Agricultural Engineering) from Seoul National University. I am broadly interested in physical AI and world models.

Email / CV / Scholar / Github / LinkedIn

News

Feb 2026 VILA was accepted to CVPR 2026.
Jan 2026 Sparse Imagination was accepted to ICLR 2026.

Research Interests

My research develops video-based representation learning and world models for physical AI, with the ultimate goal of enabling robust robotic decision-making from human videos.

Publications

	Learning to Act Robustly with View-Invariant Latent Actions Youngjoon Jeong, Junha Chun, Taesup Kim (* Equal Contribution) The IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026 project page / arXiv
	Sparse Imagination for Efficient Visual World Model Planning Junha Chun, Youngjoon Jeong, Taesup Kim (* Equal Contribution) International Conference on Learning Representations, 2026 project page / OpenReview / arXiv
	Object-centric world model for language-guided manipulation Youngjoon Jeong, Junha Chun, Soonwoo Cha, Taesup Kim (* Equal Contribution) ICLR World Model Workshop, 2025 arXiv
	Piecewise physics-informed neural networks for surrogate modelling of non-smooth system in elasticity problems using domain decomposition Youngjoon Jeong, Sang-ik Lee, Jong-hyuk Lee, Won Choi (* Equal Contribution) Biosystems Engineering, 2025 journal
	Data-efficient surrogate modeling using meta-learning and physics-informed deep learning approaches Youngjoon Jeong, Sang-ik Lee, Jong-hyuk Lee, Won Choi Expert Systems with Applications, 2024 journal
	Development of numerical land surface temperature model of Jeju Island, South Korea based on finite element method Youngjoon Jeong, Sang-ik Lee, Jong-hyuk Lee, Seon Deok Jin, Se Hwan Son, Won Choi Environmental Earth Sciences, 2021 journal

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